Unmanned Aerial Vehicle Mediated Drug Delivery for First Aid. Issue 10 (29th January 2023)

• Record Type: Journal Article
• Authors: Sheng, Tao; Jin, Rui; Yang, Changwei; Qiu, Ke; Wang, Mingyang; Shi, Jiaqi; Zhang, Jingyu; Gao, Yuman; Wu, Qing; Zhou, Xin; Wang, Hao; Zhang, Juan; Fang, Qin; Pan, Neng; Xue, Yanan; Wang, Yue; Xiong, Rong; Gao, Fei; Zhang, Yuqi; Lu, Haojian; Yu, Jicheng; Gu, Zhen
• Is Part Of: Advanced materials. Volume 35:Issue 10(2023)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2023-01-29
• Subjects: drug delivery -- first aid -- microneedles -- unmanned aerial vehicles; Materials -- Periodicals; Chemical vapor deposition -- Periodicals; 620.11
• DOI: 10.1002/adma.202208648
• Languages: English
• ISSNs: 0935-9648

Abstract

Abstract: Timely administration of key medications toward patients with sudden diseases is critical to saving lives. However, slow transport of first‐aid therapeutics and the potential absence of trained people for drug usage can lead to severe injuries or even death. Herein, an unmanned aerial vehicle (UAV)‐mediated first‐aid system for targeted delivery (uFAST) is developed. It allows unattended administration of emergency therapeutics‐loaded transdermal microneedle (MN) patches toward patients to relieve symptoms by a contact‐triggered microneedle applicator (CTMA). The implementability and safety of the uFAST for first aid is demonstrated in a severe hypoglycemic pig model by automatically delivering a glucagon patch with immediate and bioresponsive dual release modes. This platform technique may facilitate the development of UAV‐mediated first‐aid treatments for other sudden diseases. Abstract : A novel unmanned aerial vehicle (UAV)‐mediated first‐aid system is developed for targeted drug delivery (uFAST), which enables autonomous administration of emergency therapeutics via UAVs to achieve timely first aid. The implementability and safety of the uFAST with a dual‐mode glucagon microneedle patch in emergency care is well demonstrated in a severe hypoglycemic pig disease model.